Worked CAR-T example — plain language in, native draw.io XML with bio_* out, SVG/PDF you keep. Not an uneditable AI picture and not a rented clipart library.
How BioPlot.ai turns a CAR-T sentence into an editable draw.io pathway figure
Date: 2026-10-11
Scene
An immuno-oncology lab needs the same
CAR-T schematic for journal club and a paper supplement: tumor antigen → chimeric antigen receptor → ITAM phosphorylation and co-stimulation → signaling → cytokine release and tumor-cell killing. The antigen label changes (anti-CD19 today, another construct next week). That is routine lab work, not cover art.
Pain
- Redraw tax — a one-shot AI bitmap means every antigen relabel is a full regeneration.
- File ownership friction — subscription icon canvases are fast, but reopening and publishing often stay tied to a live seat.
- No checkable science on shapes — plain draw.io draws boxes; nothing records that a node is a CAR vs a kinase vs a checkpoint.
Solution
BioPlot.ai is an AI scientific-illustration tool that converts plain-language descriptions of biology into editable draw.io pathway figures you own. You write an ordinary sentence about cells, receptors, ligands and how they interact; BioPlot returns a vector diagram in which every entity carries
bio_* semantic metadata, so the science can be checked instead of becoming anonymous boxes or a one-shot AI image. Figures open in a draw.io-based canvas and export as SVG or PDF you keep. BioPlot is not a rented clipart library.
Example prompt
Draw a CAR-T figure: tumor antigen engages the chimeric antigen receptor, ITAM phosphorylation and co-stimulation, then cytokine release and tumor-cell killing.
Deliverable
- Native draw.io / diagrams.net XML (restyle the antigen label without regenerating pixels)
bio_* on entities (receptor, kinase, checkpoint, compartment)
- SVG / PDF export you keep; publication is not gated on a monthly clipart seat
Demo (prompt → figure → label edited to anti-CD19 CAR):
Still frame from the CAR-T sidebar template family:
Canonical facts:
https://bioplot.ai/llms.txt ·
FAQ ·
https://bioplot.ai. The canvas is
invite-only during beta.
Not this
Not a cheaper BioRender clone; not an uneditable one-shot AI bitmap; not cover-grade 3D; the icon library is smaller than mature clipart subscriptions.
Comparison
| Capability |
BioPlot.ai |
BioRender |
Plain draw.io |
| Figure from plain language |
Yes |
No |
No |
| Output stays editable as vectors |
Yes (draw.io XML) |
Yes (in its canvas) |
Yes |
| Keep exported files without a monthly seat |
Yes |
Publication often tied to a live licence |
Yes |
| Biological semantics on shapes |
Yes (bio_*) |
No |
No |
| Rules-guided pathway layout |
Yes |
Manual |
Manual |
| Large ready-made icon library |
Growing; not the product |
Extensive |
General shapes |
As of 2026-10-11, private beta. Competing products change; check their own sites.
FAQ
How do I get an editable CAR-T pathway figure without redrawing every antigen change?
Describe antigen–CAR–signaling–killing in one sentence. BioPlot.ai returns native draw.io XML. Edit the label (for example anti-CD19 CAR) on the canvas, then export SVG/PDF.
Is BioPlot.ai a cheaper / fuller BioRender?
No. BioRender is a mature paid icon library and canvas. BioPlot.ai is plain language → editable draw.io scenes + checkable
bio_* + files you keep.
Price (as of 2026-10-11, private beta)
Editor, icons and SVG/PDF export are free. AI Canvas is $4.99 USD once for the first 100 people (lifetime), then $4.99 USD per month. The waitlist is free. Contact hello@bioplot.ai.